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# -*- coding: utf-8 -*-
# Author: ximing
# Description: test_sd_models
# Copyright (c) 2024, XiMing Xing.
# License: MPL-2.0 License
import random
from pathlib import Path
from diffusers.utils import load_image, make_image_grid
from accelerate.utils import set_seed
def test_SDXL():
from diffusers import AutoPipelineForText2Image, StableDiffusionXLImg2ImgPipeline
import torch
set_seed(seed=random.randint(0, 9999999))
pipeline_text2image = AutoPipelineForText2Image.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16,
variant="fp16",
use_safetensors=True,
local_files_only=True,
).to("cuda")
pipeline_text2image.enable_xformers_memory_efficient_attention()
refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-refiner-1.0",
torch_dtype=torch.float16,
use_safetensors=True,
variant="fp16",
local_files_only=True,
).to("cuda")
refiner.enable_xformers_memory_efficient_attention()
# prompt = "A variety of vector graphics. vector art."
# prompt = "unicorn, Die-cut sticker, Cute kawaii flower character sticker, white background, illustration minimalism, vector, pastel colors"
prompt = "DigiArtist holds a shiny SVG paintbrush, Die-cut sticker, Cute kawaii character sticker, 3d blender render, white background, illustration minimalism, vector, pastel colors, physically based rendering"
# prompt = "the batman, Die-cut sticker, Cute kawaii character sticker, white background, illustration minimalism, vector, pastel colors"
save_path = Path("./test/sdxl-DigiArtist-3")
save_path.mkdir(parents=True, exist_ok=True)
for i in range(10):
image = pipeline_text2image(prompt=prompt).images[0]
refined_image = refiner(
prompt=prompt,
num_inference_steps=60,
denoising_start=0.8,
image=image,
).images[0]
img = make_image_grid([image], rows=1, cols=1)
img.save(save_path / f'base_{i}.png')
img = make_image_grid([refined_image], rows=1, cols=1)
img.save(save_path / f'refined_{i}.png')
if __name__ == '__main__':
# python test/test_stable_diffusion.py
test_SDXL()
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